Alex J. Kuo
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Cancer-related gene regulation
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune responses and vaccinations
Papers in
-
- Genomics and Chromatin Dynamics 11
- Chromatin Remodeling and Cancer 1
- Single-cell and spatial transcriptomics 1
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- NF-κB Signaling Pathways 2
- Co-authors
- Or Gozani (15 shared papers)Peggie Cheung (13 shared papers)Tatiana G. Kutateladze (6 shared papers)Paul J. Utz (8 shared papers)Santiago Ramón‐Maiques (3 shared papers)Marjorie A. Oettinger (3 shared papers)Adam G. W. Matthews (3 shared papers)Wei Yang (3 shared papers)
- Journals
- JCI Insight (2 papers)Nature Immunology (2 papers)The FASEB Journal (2 papers)Nature (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Alex J. Kuo
25 papers receiving 3.3k citations
Alex J. Kuo's Hit Papers
Peers
Comparison fields: 5 of 65
- Molecular Biology 1.3k
- Immunology 324
- Aging 19
- Hematology 112
- Infectious Diseases 125
Countries citing papers authored by Alex J. Kuo
This map shows the geographic impact of Alex J. Kuo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alex J. Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex J. Kuo more than expected).
Fields of papers citing papers by Alex J. Kuo
This network shows the impact of papers produced by Alex J. Kuo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alex J. Kuo. The network helps show where Alex J. Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex J. Kuo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 384 | |
| 2 | New-onset IgG autoantibodies in hospitalized patients with COVID-19 Hit paper breakdown → | 2021 | 371 |
| 3 | 2011 | 356 | |
| 4 | 2012 | 279 | |
| 5 | 2018 | 257 | |
| 6 | 2009 | 248 | |
| 7 | 2010 | 224 | |
| 8 | The single-cell epigenomic and transcriptional landscape of immunity to influenza vaccination Hit paper breakdown → | 2021 | 210 |
| 9 | 2009 | 172 | |
| 10 | 2007 | 170 | |
| 11 | 2008 | 155 | |
| 12 | 2008 | 107 | |
| 13 | 2009 | 88 | |
| 14 | 2010 | 84 | |
| 15 | 2016 | 59 | |
| 16 | 2021 | 55 | |
| 17 | 2013 | 44 | |
| 18 | 2019 | 34 | |
| 19 | 2018 | 30 | |
| 20 | 2022 | 8 |
About Alex J. Kuo
Alex J. Kuo is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Pathology and Forensic Medicine and Genetics, having authored 25 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (11 papers), NF-κB Signaling Pathways (2 papers), Inflammatory Bowel Disease (1 paper), Systemic Sclerosis and Related Diseases (1 paper), Chromatin Remodeling and Cancer (1 paper), Single-cell and spatial transcriptomics (1 paper) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Immunology (324 citations), Aging (19 citations), Hematology (112 citations) and Infectious Diseases (125 citations). Alex J. Kuo has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Or Gozani, Peggie Cheung, Tatiana G. Kutateladze, Paul J. Utz, Santiago Ramón‐Maiques, Marjorie A. Oettinger, Adam G. W. Matthews, Wei Yang, Karen C. Glass and Purvesh Khatri. Their work appears in journals such as JCI Insight, Nature Immunology, The FASEB Journal, Nature and Journal of Molecular Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.